Comments (2)
Hi, sorry for the delay answering you.
Do you mean that the default configurations are diverging during training? This is probably because hypergan is in beta and hard to stabilize right now. We are working towards stable configurations.
If hypergan itself is causing errors please copy and paste the error message.
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im really new to hypergan i just dont completely get everything like training
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Related Issues (20)
- TypeError: __init__() got multiple values for argument 'args' HOT 1
- HyperGAN Crash 'CUDA_ERROR_LAUNCH_FAILED' HOT 2
- Can't find samples/configurations in HyperGAN for Pip HOT 1
- Initialization of conjugate gradient in competitive_optimizer HOT 1
- Windows Error HOT 2
- Support For TensorFlow > 2.0 (considering it is difficult to install compatible versions of tf) HOT 3
- Transition to tensorflow.compat.v1 as tf, instead of tensorflow as tf HOT 2
- StyleGAN2 Error on "resize -1" line in config HOT 2
- [Documentation] Table of contents has dead links HOT 1
- 'hypergan' is not recognized as an internal or external command HOT 15
- Move train hooks from trainer to gan object
- Save is not thread safe HOT 1
- Remove '-f' from documentation
- --device cpu doesn't work HOT 3
- [BUG] Exception: Could not find configuration default.json in HyperGAN HOT 3
- 'hypergan' is not recognized as an internal or external command, operable program or batch file. HOT 1
- No module named hypergan.__main__; 'hypergan' is a package and cannot be directly executed HOT 1
- Cannot find module elastic_weight_consolidation_optimizer on train
- ModuleNotFoundError: No module named 'hypergan.layers.minibatch'
- Adversarial Latent Autoencoders[ALAE]
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